# Claude 3.7 Sonnet vs GLM-4.5

> GLM-4.5 is the stronger model overall, scoring 41.4 to 39.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-3-7-sonnet-vs-glm-4-5
- Last updated: 2026-10-10
- Shared benchmarks: 23

## Summary

- They share 23 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 3 categories and GLM-4.5 in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in long context, where Claude 3.7 Sonnet leads 50.2 to 38.2.
- The biggest single-benchmark swing is Fiction.LiveBench: 83.3% for Claude 3.7 Sonnet and 58.3% for GLM-4.5.
- GLM-4.5 has downloadable open weights; the other is API-only.

## Snapshot

| | Claude 3.7 Sonnet | GLM-4.5 |
|---|---|---|
| Provider | Anthropic | Z.ai (Zhipu) |
| Noometry Index | 39.4 | 41.4 |
| Rank | 154 | 125 |
| Context | — | 131K |
| Input $/M | — | $0.60 |
| Output $/M | — | $2.20 |
| Weights | Proprietary | Open |

## Coding

- Claude 3.7 Sonnet: 41.1 (#120)
- GLM-4.5: 41.1 (#121)

| Benchmark | Claude 3.7 Sonnet | GLM-4.5 |
|---|---|---|
| SWE-bench Verified (bash only) | 52.8% | 54.2% |
| LMArena Coding | 1361 | 1434 |
| SWE-bench Verified | 61% | — |
| Aider Polyglot | 64.9% | — |
| GSO | 3.8% | — |
| WeirdML | — | 40.6% |
| LiveBench Coding | 74.5% | — |
| CadEval | 54% | — |
| ALE-Bench | — | 344.82 |
| AlgoTune | — | 1.52 |

## Agentic & Tool Use

- Claude 3.7 Sonnet: 33.9 (#46)
- GLM-4.5: —

| Benchmark | Claude 3.7 Sonnet | GLM-4.5 |
|---|---|---|
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| METR Time Horizons | 60% | — |

## Reasoning

- Claude 3.7 Sonnet: 18.7 (#252)
- GLM-4.5: 27.7 (#99)

| Benchmark | Claude 3.7 Sonnet | GLM-4.5 |
|---|---|---|
| LMArena Hard Prompts | 1333 | 1430 |
| ARC-AGI-2 | 0.9% | — |
| SimpleBench | 46.4% | — |
| Kagi LLM Benchmark | — | 57.9% |
| ARC-AGI-1 | 28.6% | — |
| EnigmaEval | 4.2% | — |
| LiveBench Reasoning | 87.8% | — |
| LiveBench Data Analysis | 74% | — |
| Epoch Capabilities Index | 141.16 | — |
| ForecastBench | 61.8 | — |
| LiveBench | 76.1% | — |

## Math

- Claude 3.7 Sonnet: 35.7 (#137)
- GLM-4.5: 36.3 (#119)

| Benchmark | Claude 3.7 Sonnet | GLM-4.5 |
|---|---|---|
| LMArena Math | 1336 | 1427 |
| OTIS Mock AIME 2024-2025 | 57.8% | — |
| Omni-MATH | 33% | — |
| LiveBench Math | 79% | — |
| MATH Level 5 | 91.2% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |

## Knowledge

- Claude 3.7 Sonnet: 39.7 (#117)
- GLM-4.5: 35.5 (#172)

| Benchmark | Claude 3.7 Sonnet | GLM-4.5 |
|---|---|---|
| Humanity's Last Exam | 8% | 8.3% |
| Confabulations | 14.7% | 11.3% |
| LMArena Expert | 1321 | 1433 |
| GPQA Diamond | 79.7% | — |
| MMLU-Pro | 78.4% | — |
| GPQA (HELM) | 60.8% | — |

## Multimodal

- Claude 3.7 Sonnet: 33.1 (#90)
- GLM-4.5: —

| Benchmark | Claude 3.7 Sonnet | GLM-4.5 |
|---|---|---|
| LMArena Vision | 1169 | — |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |

## Multilingual

- Claude 3.7 Sonnet: 44.3 (#174)
- GLM-4.5: 53.0 (#74)

| Benchmark | Claude 3.7 Sonnet | GLM-4.5 |
|---|---|---|
| LMArena Non-English | 1296 | 1417 |
| LMArena Chinese | 1299 | 1465 |
| LMArena French | 1302 | 1423 |
| LMArena German | 1301 | 1406 |
| LMArena Japanese | 1268 | 1416 |
| LMArena Korean | 1249 | 1382 |
| LMArena Russian | 1311 | 1414 |
| LMArena Spanish | 1299 | 1454 |

## Instruction Following

- Claude 3.7 Sonnet: 73.1 (#120)
- GLM-4.5: 74.3 (#100)

| Benchmark | Claude 3.7 Sonnet | GLM-4.5 |
|---|---|---|
| LMArena Instruction Following | 1352 | 1405 |
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |

## Long Context

- Claude 3.7 Sonnet: 50.2 (#10)
- GLM-4.5: 38.2 (#196)

| Benchmark | Claude 3.7 Sonnet | GLM-4.5 |
|---|---|---|
| Fiction.LiveBench | 83.3% | 58.3% |
| LMArena Longer Query | 1373 | 1413 |

## Writing & Preference

- Claude 3.7 Sonnet: 54.6 (#145)
- GLM-4.5: 57.7 (#121)

| Benchmark | Claude 3.7 Sonnet | GLM-4.5 |
|---|---|---|
| LMArena Text | 1314 | 1430 |
| LMArena Creative Writing | 1332 | 1395 |
| Short-Story Creative Writing | 81.1% | 73.4% |
| EQ-Bench Creative Writing | 1412 | 1343 |
| LMArena Multi-Turn | 1339 | 1415 |
| WildBench | 81.4% | — |
| LiveBench Language | 59.9% | — |

## FAQ

### Is Claude 3.7 Sonnet better than GLM-4.5?

GLM-4.5 is the stronger model overall, scoring 41.4 to 39.4 on the Noometry Index.

### Is Claude 3.7 Sonnet or GLM-4.5 better for coding?

They score almost the same on coding (41.1 vs 41.1); test both on your own repository before choosing.

### How many benchmarks do Claude 3.7 Sonnet and GLM-4.5 share?

23 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and GLM-4.5 has 27.